Derivation of Learning Styles for Solving Technological Problems


  • Mika Lim, Jinsoo Kim


The purpose of this study was to derive the learning styles for solving technological problems using literature reviews, focused-group interviews, and grounded theory study. Results were obtained by examining the characteristics of the components from the extracted five categories namely Thinking-Intuition in recognition and judgement, Adaptation-Innovation in creativity, Reflection-Action in execution, Independence-Cooperation in interaction, and Avoidance-Participation in approach, all of which are aiming at different tendencies. The conclusions of the study were as follows. First, learning styles that reflects the characteristics of solving technological problems could be derived. Second, the learning styles of solving technological problems covers cognitive, affective and impressive area. Third, the learning styles were divided into five dimensions and two types for each dimension. From here, the following suggestions were made. First, empirical studies on how learners are classified to a specific learning type,   which shows the characteristics on the actual learning process, should be conducted. Second, it need to be specifically investigated how learning styles were derived should be investigated as well as the various characteristics of the learner such as solving technological problems ability, operational ability and so on .Third, it was necessary to establish concrete method of lesson considering learning styles. Fourth, various studies should be conducted on the relation between learning styles and learning.